WiDS (Women in Data Science) Datathon 2020: ICU Mortality Prediction

**WiDS (Women in Data Science)** **Datathon 2020: ICU Mortality Prediction** focuses on patient health through data from [MIT's GOSSIS (Global Open Source Severity of Illness Score)](https://gossis.mit.edu/) initiative. Brought to you by the Global WiDS team, the [West Big Data Innovation Hub](https://westbigdatahub.org/), and the [WiDS Datathon Committee](https://www.widsconference.org/committee-2020.html), this year's datathon is launching on Kaggle: [bit.ly/WiDSdatathon2020kaggle](https://bit.ly/WiDSdatathon2020kaggle).**数据科学女性（Women in Data Science, WiDS）2020年数据挑战赛：重症监护室（Intensive Care Unit, ICU）患者死亡率预测** 本赛事基于麻省理工学院（MIT）全球开源病情严重程度评分（Global Open Source Severity of Illness Score, GOSSIS）项目的数据集，围绕患者健康主题开展分析研究。本次赛事由全球WiDS团队、西部大数据创新枢纽（West Big Data Innovation Hub）与WiDS数据挑战赛组委会联合推出，本届数据挑战赛已在Kaggle平台正式上线，参赛链接为：[bit.ly/WiDSdatathon2020kaggle](https://bit.ly/WiDSdatathon2020kaggle)。